Using Digital Technology to Conduct COVID-19 Surveillance: A Systematic Review by Fitrisia Rahma, Fatmah Fatmah, Rachmadhi Purwana

“…Conclusion: Digital technology has demonstrated its pivotal role in strengthening public health surveillance during the pandemic, improving efficiency, accuracy, and capacity in pandemic response. …”
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Quantification of Salmonella in Raw Poultry Using Droplet Digital PCR With a Whole Cell, Enrichment-free Approach by Cheryl M. Armstrong, Chin-Yi Chen, Yicheng Xie, Javier Atencia, Sophie Pierre, Yiping He, Joe Lee, Gretchen E. Dykes, Kathleen Johnson, Brice Froment, Sean Martinos, Joseph Capobianco

“…This platform offers a robust, rapid, and precise tool for detecting low levels of Salmonella in poultry products without enrichment, making it a more accurate and efficient approach to bacterial quantification in complex food matrices.…”
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SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

“…Overcoming noise in SEM images traditionally involves the use of various filters, such as the Wiener filter and Gaussian filter, but these methods are often limited in efficiency when handling complex noise patterns, and they can be time-consuming. …”
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A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation by Yinling Wang, Lei Yu, Mazhar Ali, Imran Ali Khan, Tahir Maqsood, Haining Gao, Qi Wang, Xiaolei Guo

“…These results demonstrated the capability of machine learning to accurately capture complex relationships within structured datasets.…”
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HalalChain: A decentralized blockchain model for enhanced data integrity, real-time compliance, and automated verification in halal food supply chain by Muhammad Muntasir Yakubu, Mohd Fadzil B Hassan, Kamaluddeen Usman Danyaro, Bello Musa Yakubu, Abdullah Abdulrahman Alabdulatif, S. Zulaikha Beevi, Aliyu Garba

“…The global halal food industry, valued at over $1.9 trillion, faces critical challenges in ensuring transparency, traceability, and compliance with Islamic dietary laws across complex supply chains. Traditional centralized systems are vulnerable to inefficiencies, fraud, and data tampering, undermining consumer trust. …”
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AgriSenAI: Automating UAV thermal and multispectral image processing for precision agriculture by Boaz B. Tulu, Fitsum Teshome, Yiannis Ampatzidis, Niguss Solomon Hailegnaw, Haimanote K Bayabil

“…However, processing and extracting useful information from UAV images is often complex, time-consuming, and requires specialized software, which limits its broader adoption for practical field implementations. …”
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HCAP: Hybrid cyber attack prediction model for securing healthcare applications. by Mohanad Faeq Ali, Mohammed Shakir Mohmood, Ban Salman Shukur, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh, Masrullizam Mat Ibrahim, Safarudin Gazali Herawan

“…However, the existing model's efficiency depends on the diversity of data, which leads to computational complexity issues. …”
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Mutation‐inspired symbolic execution for software testing by Kevin J. Valle‐Gómez, Antonio García‐Domínguez, Pedro Delgado‐Pérez, Inmaculada Medina‐Bulo

“…Abstract Software testing is a complex and costly stage during the software development lifecycle. …”
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Temperature-Responsive Microrobot for High-Temperature Sensing in Constrained Environments by Shaobo Ding, Junmin Liu, Jiaxu Dong, Rencheng Zhuang, Enbo Shi, Shutong Wang, Yuhang Xiao, Dekai Zhou, Longqiu Li, Xiaocong Chang

“…Due to poor accessibility to constrained space, and low visibility, conventional thermometry and existing nanoscale thermometers struggle to achieve efficient and accurate temperature detection. As an emerging technology, microrobots offer great potential for temperature sensing in such challenging conditions. …”
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Maximum Butterfly Generators Search in Bipartite Networks by Jianrong Huang, Guangyao Pang, Fei Hao

“…Particularly, maximum butterfly as a special cohesive subgraph of bipartite graphs, is playing an critical role in many promising application such as recommendation systems and research groups detection. Enumerating maximal butterfly has been proved to be a NP-hard and suffers time and space complexity. …”
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Comparison of Linear and Nonlinear Features of Electroencephalogram to Classify Alcoholic and Non-Alcoholic People by Elizabeth Stewart, Owen Kelly

“…Detecting the presence of alcohol in individuals poses a significant challenge due to the limitations of conventional devices that rely on odor, which is not always reliable. …”
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Beyond N-Grams: Enhancing String Kernels With Transformer-Guided Semantic Insights by Nazar Zaki, Reem Alderei, Mahra Alketbi, Alia Alkaabi, Fatima Alneyadi, Nadeen Zaki

“…This work sets a new standard in AI-text detection methodologies, enhancing reliability, efficiency, and scalability for real-world applications.…”
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A Composite Vision-Based Method for Post-Assembly Dimensional Inspection of Engine Oil Seals by Yu Li, Jing Zhao, Xingyu Gao, Weiming Li, Rongtong Jin, Guohao Tang, Yang Huang, Shuibiao Chen

“…Compared with existing methods, the proposed approach not only enhances detection accuracy and efficiency but also provides a practical and reliable solution for real-time monitoring of engine oil seal assembly dimensions, highlighting its substantial industrial application potential.…”
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Determination of Tacrolimus in Plasma by Paper Spray In-situ Mass Spectrometry Based on Multistage Fragmentation by Fei PAN, Shuang YANG, Zi-yu QU, Di ZHANG, Chun-xia WANG, Hong-bin ZHEN, Zi-hong YE, Xin-hua DAI, Xiang FANG, Hai-di JIANG, Jie XIE, You JIANG

“…This method was applied to monitor tacrolimus levels in 20 plasma samples, with concentrations ranging from 5.62 to 36.75 μg/L and RSD between 1.75% and 14.41%, indicating that the method has good precision and can meet the needs of clinical blood drug concentration monitoring. The entire detection process only takes 1 min to obtain quantitative results, and in scenarios requiring rapid detection of blood drugs, this method is expected to become an efficient alternative, with the potential to be applied to the concentration monitoring of other immunosuppressants.…”
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Research advances in polysaccharide utilization loci of rumen microorganism by GAO Ge, WANG Jiakun

“…Bacteroidetes are highly abundant in rumen and are considered as efficient degraders of polysaccharides, which can use PULs to arrange the detection, sequestration, digestion of complex carbohydrates. …”
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Fault-tolerant quantum architectures based on erasure qubits by Shouzhen Gu, Alex Retzker, Aleksander Kubica

“…We numerically estimate the memory thresholds for the circuit noise model that includes spreading (via entangling operations) and imperfect detection of erasures. Our results demonstrate that, despite being slightly more complex, QEC schemes based on erasure qubits can significantly outperform standard approaches.…”
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Pseudoexhaustive memory testing based on March A type march tests by V. N. Yarmolik, I. Mrozek, S. V. Yarmolik

“…Multiple March tests are highlighted to detect complex pattern-sensitive memory faults. To detect them, the necessary condition that test procedures must satisfy to deal complex faults, is substantiated. …”
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Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy by Sonia Hermoso‐Durán, Nicolas Fraunhoffer, Judith Millastre‐Bocos, Oscar Sanchez‐Gracia, Pablo F. Garrido, Sonia Vega, Ángel Lanas, Juan Iovanna, Adrián Velázquez‐Campoy, Olga Abian

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IoT-based cloud monitoring system for building fires by Pan Guanhong, Xie Yanzhang, Yang Qingping

“…It assists in planning evacuation routes based on fire location, enhancing safety and efficiency. Laboratory and field tests confirm reliable performance, and the novel system will find applications in smart fire detection and prevention.…”
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Unit Size Determination for Exploratory Brain Imaging Analysis: A Quest for a Resolution-Invariant Metric by Jihnhee Yu, HyunAh Lee, Zohi Sternberg

“…Defining an adequate unit size is often crucial in brain imaging analysis, where datasets are complex, high-dimensional, and computationally demanding. …”
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